Triple
T24772336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chloe Hewett Wilton |
E619759
|
entity |
| Predicate | unawareOf |
P22661
|
FINISHED |
| Object | Chris Wilton's affair with Nola Rice |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chris Wilton's affair with Nola Rice | Statement: [Chloe Hewett Wilton, unawareOf, Chris Wilton's affair with Nola Rice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unawareOf Context triple: [Chloe Hewett Wilton, unawareOf, Chris Wilton's affair with Nola Rice]
-
A.
ignorantOf
chosen
Indicates that one entity lacks knowledge or awareness of another entity or of some specific fact, topic, or situation.
-
B.
neverSeenWithout
Indicates that one entity is always accompanied by another and is not observed in situations where the other is absent.
-
C.
unawareOfTrueIdentityOf
Indicates that one entity does not know or recognize the real or actual identity of another entity.
-
D.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
-
E.
notObservedBy
Indicates that an entity, event, or condition is not detected, recorded, or perceived by a specified observer or observation process.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410acff0481908b72047fe19d97de |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:32 a.m.